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Topic · Biomedical Engineering

Advanced Chemical Sensor Technologies

Advanced Chemical Sensor Technologies is a research topic within Biomedical Engineering. Science Explorer counts 91k research works in it since 1950. 16.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the advances in breath analysis technology, particularly the use of electronic nose and sensor arrays to detect volatile organic compounds in exhaled breath for disease diagnosis, with a specific emphasis on lung cancer. The research covers various aspects such as diagnostic potential, colorimetric sensor arrays, and machine olfaction.

  • Breath Analysis
  • Electronic Nose
  • Volatile Organic Compounds
  • Disease Diagnosis
  • Sensor Array
  • Exhaled Breath
  • Lung Cancer
  • Diagnostic Potential
  • Colorimetric Sensor
  • Machine Olfaction
Research works
91k
fractional, since 1950
In the world top 10%
15k
per year above
Top-10% rate
16.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+33%
the tick is no change

Which countries lead Advanced Chemical Sensor Technologies research?

By volume, China and India publish the most (5.6k and 1.6k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 5.6k works
  2. 2 India 1.6k works
  3. 3 United States 1.5k works
  4. 4 Japan 602 works
  5. 5 Italy 525 works
  6. 6 South Korea 518 works
  7. 7 Germany 503 works
  8. 8 Russia 400 works
  9. 9 Spain 381 works
  10. 10 United Kingdom 380 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 46.3%India: 13.4%United States: 12.7%Japan: 5.0%6 others listed: 22.5%46%largest
China5,563 · 46.3%India1,610 · 13.4%United States1,525 · 12.7%Japan602 · 5.0%6 others listed2,707 · 22.5%

Shares of the rows listed above, not of the whole node.

Which institutions lead Advanced Chemical Sensor Technologies research?

By volume in 2022–2025, Jiangsu University publishes the most Advanced Chemical Sensor Technologies research, followed by Chinese Academy of Sciences and Zhejiang University.

By volume, 2022–2025

  1. 1 Jiangsu University China 87 works
  2. 2 Chinese Academy of Sciences China 72 works
  3. 3 Zhejiang University China 66 works
  4. 4 Jilin University China 62 works
  5. 5 Northeastern University China 57 works
  6. 6 China Agricultural University China 52 works
  7. 7 Beijing Technology and Business University China 50 works
  8. 8 Ministry of Agriculture and Rural Affairs China 50 works
  9. 9 Jiangnan University China 49 works
  10. 10 Chongqing University China 48 works

Where is Advanced Chemical Sensor Technologies research done?

The largest centres of Advanced Chemical Sensor Technologies research in 2022–2025 are Beijing (China), Shanghai (China), Hangzhou (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Jinrongjie, Jiaozuo and Zibo.

Largest cities, 2022–2025

  1. 1 Beijing China 857 works
  2. 2 Shanghai China 325 works
  3. 3 Hangzhou China 230 works
  4. 4 Guangzhou China 205 works
  5. 5 Nanjing China 202 works
  6. 6 Seoul South Korea 201 works
  7. 7 Tokyo Japan 192 works
  8. 8 Wuhan China 191 works
  9. 9 Xi'an China 175 works
  10. 10 Tianjin China 163 works

Where it is the local speciality

  1. JinrongjieCN · 29.2 works20×
  2. JiaozuoCN · 32.8 works6.1×
  3. ZiboCN · 29.9 works5.3×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Chemical Sensor Technologies than the world average.

See Advanced Chemical Sensor Technologies on the map

Where is the best place to study Advanced Chemical Sensor Technologies?

Among universities, judged by research, Jiangsu University, Dalian Polytechnic University and Beijing Technology and Business University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%60%mean 44.46%fractional works in this node (log) →share in the world top 10% →Jiangsu University: 87, 47.9%Dalian Polytechnic University: 29, 44.8%Beijing Technology and Business University: 50, 44.8%Heilongjiang University: 21, 54.7%Henan Polytechnic University: 32, 43.0%Northeastern University: 57, 38.2%National Taipei University of Technology: 14, 43.3%Bohai University: 13, 54.2%Zhejiang A & F University: 16, 37.4%China Agricultural University: 52, 36.3%Heilongjiang Univers…Jiangsu UniversityDalian Polytechnic U…Beijing Technology a…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Jiangsu University China 69.347.9%6.9×87 +19.2%
2Dalian Polytechnic University China 67.744.8%9.8×29 +79.8%
3Beijing Technology and Business University China 67.444.8%14.2×50 -23.3%
4Heilongjiang University China 66.054.7%7.4×21 +109.1%
5Henan Polytechnic University China 61.743.0%6.6×32 +118.2%
6Northeastern University China 58.838.2%3.8×57 +140.7%
7National Taipei University of Technology Taiwan 58.543.3%5.3×14 +190.7%
8Bohai University China 55.954.2%7.5×13 +10.8%
9Zhejiang A & F University China 55.037.4%6.0×16 +155.6%
10China Agricultural University China 53.836.3%5.6×52 -3.7%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Advanced Chemical Sensor Technologies research growing?

Output in 2018–2022 was 33% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Advanced Chemical Sensor Technologies.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.